activity
20222024
most citedCoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy

Hoang-Quan Nguyen, Thanh-Dat Truong, Khoa Luu

Action recognition has become one of the popular research topics in computer vision. There are various methods based on Convolutional Networks and self-attention mechanisms as Tran…

cs.CV20231 cited

CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation

Thanh-Dat Truong, Chi Nhan Duong, Pierce Helton +3

The research in self-supervised domain adaptation in semantic segmentation has recently received considerable attention. Although GAN-based methods have become one of the most popu…

cs.CV20231 cited

CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation

Thanh-Dat Truong, Chi Nhan Duong, Ashley Dowling +3

Understanding semantic scene segmentation of urban scenes captured from the Unmanned Aerial Vehicles (UAV) perspective plays a vital role in building a perception model for UAV. Wi…

cs.CV2023

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

Thanh-Dat Truong, Ngan Le, Bhiksha Raj +2

Although Domain Adaptation in Semantic Scene Segmentation has shown impressive improvement in recent years, the fairness concerns in the domain adaptation have yet to be well defin…

cs.CV2022

Self-supervised Domain Adaptation in Crowd Counting

Pha Nguyen, Thanh-Dat Truong, Miaoqing Huang +3

Self-training crowd counting has not been attentively explored though it is one of the important challenges in computer vision. In practice, the fully supervised methods usually re…